(19)
(11) EP 4 245 126 A3

(12) EUROPEAN PATENT APPLICATION

(88) Date of publication A3:
22.11.2023 Bulletin 2023/47

(43) Date of publication A2:
20.09.2023 Bulletin 2023/38

(21) Application number: 22211417.5

(22) Date of filing: 24.10.2017
(51) International Patent Classification (IPC): 
A01G 7/00(2006.01)
G06T 7/70(2017.01)
G01N 21/00(2006.01)
A01G 22/00(2018.01)
G06V 20/10(2022.01)
 G01C 21/00(2006.01)
G06T 1/00(2006.01)
A01B 79/00(2006.01)
G01C 11/04(2006.01)
(52) Cooperative Patent Classification (CPC):
A01B 79/005; G01C 11/04; G01N 21/00; A01G 22/00; G06V 20/188
(84) Designated Contracting States:
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

(30) Priority: 24.10.2016 US 201662411976 P

(62) Application number of the earlier application in accordance with Art. 76 EPC:
17865699.7 / 3528613

(71) Applicant: Board of Trustees of Michigan State University
East Lansing, MI 48824 (US)

(72) Inventor:
  • Basso, Bruno
    East Lensing MI 48823 (US)

(74) Representative: Grünecker Patent- und Rechtsanwälte PartG mbB 
Leopoldstraße 4
80802 München
80802 München (DE)

   


(54) METHOD FOR MAPPING TEMPORAL AND SPATIAL SUSTAINABILITY OF A CROPPING SYSTEM


(57) A method for mapping temporal and spatial stability of a cropping system comprises:
(a) providing a plurality of images in a time series, the images (i) spanning a large-scale cropping system land unit having at least one of soybean and corn crop plants planted thereon, and (ii) comprising a plurality of small-scale image subunits encompassing the large-scale cropping system land unit;
wherein images at a given element in the time series correspond to a canopy saturation time point in a growth season for the cropping system;
(b) determining at each time series element an average optical vegetative index for the large-scale cropping system land unit based on the small-scale image subunits therein at the time series element and having the crop plants thereon;
(c) determining for each small-scale image subunit having the crop plants at each time series element the optical vegetative index for the small-scale image subunit, and classifying the optical vegetative index for the small-scale image subunit relative to the average optical vegetative index for the large-scale cropping system land unit at the same time series element;
(d) determining for the time series a variability parameter of the optical vegetative index for the large-scale cropping system land unit over time;
(e) determining for each small-scale image subunit having the crop plants for the time series the variability parameter of the optical vegetative index for the small-scale image subunit over time, and classifying the optical vegetative index variability parameter for the small-scale image subunit relative to the optical vegetative index variability parameter for the large-scale cropping system land unit.







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